Bioelectrical Impedance Analysis and Vasoconstriction Taylor Guffey Lauren Morgan Harry Han Shelby Hassberger Daniel Kim Elizabeth Morris Rachel Patel Radu Reit
Problem Statement The purpose of this study is to evaluate whether the temperature of the room can affect the body fat percentage reading for an individual.
Sample Size Sample size derived from pilot study 23 estimated for statistical significance 24 used in experiment Exclusion/Inclusion Criteria: Only students in BMED1300 will participate in this study as part of a class project.
Hypothesis Null Hypothesis There will be no difference in the readings of body fat percentage from 24 o C to 4 o C as measured by the bioelectrical impedance analysis. Alternative Hypothesis There will be a statistically significant increase in body fat percentage when the readings are taken from 24 o C to 4 o C as measured by the bioelectrical impedance analysis.
Materials Instruction Sheet Name tags Consent Form Data Card Survey Jackets Scale Meter Stick Omron HBF-360 Fat Analyzer Thermometer Space Heater A room at 24 o C A room at 4 o C wyg/image/omron_HBF-306.jpg
Methodology 2 groups of 12 subjects each Read and sign consent form Assign subject IDs and handout Data Card Height and weight were measured Subjects fill out survey BIA measured after 10 minutes Subjects transferred to Cold Room BIA measured again after 10 minutes
Height Survey & Time Table Weight Heate r BIA Reading Station Chair Door Waiting Area Warm Room 24 o C Time & BIA Reading Station Door Waiting Area Ten Minutes Later Simulation Cold Room 4 o C
Data SubjectsHeightWeight (lbs)GenderAgeHot BIACold BIA A16' 2"184Male A25' 8.5"148Male A35' 2"137Female A45' 11"179Male A55' 5"141Female A65' 8"165Male A75' 9.75"166Male A85' 4.75"139Female A95' 8.25"135Female A105' 8"155Male A116' 0"164Male A125' 11.5"182Male B16' 2"166Male B25' 5.25"148Female B35' 10"151Male B46' 4"211Male B55' 10.75"153Male B66' 1"186Male B76' 2"163Male B85' 10"170Male B96' 0"175Female B105' 11.75"138Male B116' 1.5"171Male B125' 10.5"195Male
Statistical Analysis Statistics t-score p-value E-09 Standard Deviation Mean of Difference Student’s Dependent One-Tailed T-test
T-Score Calculation X D = Mean of the differences S D = Standard Deviation of the differences n = Sample size
Analysis T-value Needed= 1.72 for 95% confidence T-score = P value = 1.24 x Null Hypothesis is rejected
Outliers
Discussion Null hypothesis is rejected Statistically significant increase in BIA readings Data supports the alternative hypothesis Strong correlation
Improvements Less subjects Smaller groups Multiple devices More time in each room Specific groups – (e.g. gender, weight class, etc.)
Questions?